Abstract: The present disclosure provides systems and methods that use machine learning to improve whole-structure relevance of hierarchical informational displays. In particular, the present disclosure provides systems and methods that employ a supervised, discriminative machine learning approach to jointly optimize the ranking of items and their display attributes. One example system includes a machine-learned display selection model that has been trained to jointly select a plurality of items and one or more attributes for each item for inclusion in an informational display. For example, the machine-learned display selection model can optimize a nested submodular objective function to jointly select the items and attributes.

Abstract: The invention relates to a method for applying titanium dioxide-based photocatalytic coatings to a carrier material without using binders. The invention also relates to the use of a coating. According to the invention, a titanium dioxide suspension together with a carrier liquid is sprayed onto a hot carrier in the form of a fine aerosol so that the carrier liquid flash evaporates and titanium dioxide particles of the titanium dioxide suspension are flash sintered onto the carrier material, water being used as the carrier liquid and the carrier material having a temperature of 150 to 250° C. during spraying. According to the invention, a porous and yet stable layer for a catalyst for an efficient and rapid degradation of pollutants is produced.

Abstract: The invention relates to a method for applying titanium dioxide-based photocatalytic coatings to a carrier material without using binders. The invention also relates to the use of a coating. According to the invention, a titanium dioxide suspension together with a carrier liquid is sprayed onto a hot carrier in the form of a fine aerosol so that the carrier liquid flash evaporates and titanium dioxide particles of the titanium dioxide suspension are flash sintered onto the carrier material, water being used as the carrier liquid and the carrier material having a temperature of 150 to 250° C. during spraying. According to the invention, a porous and yet stable layer for a catalyst for an efficient and rapid degradation of pollutants is produced.

Abstract: The present disclosure provides systems and methods that use machine learning to improve whole-structure relevance of hierarchical informational displays. In particular, the present disclosure provides systems and methods that employ a supervised, discriminative machine learning approach to jointly optimize the ranking of items and their display attributes. One example system includes a machine-learned display selection model that has been trained to jointly select a plurality of items and one or more attributes for each item for inclusion in an informational display. For example, the machine-learned display selection model can optimize a nested submodular objective function to jointly select the items and attributes.